Table 4.
Gene | SNP | Biomarker | Total sample N = 272 |
Exposure N = 155 |
Non-exposure N = 117 |
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---|---|---|---|---|---|---|---|---|---|---|---|
β | P valuea | P valueb | β | P valuea | P valueb | β | P valuea | P valueb | |||
GCLC | rs1555903 | eGFR | − 2.19 | 0.004 | 0.001 | − 1.32 | 0.17 | 0.16 | − 3.22 | 0.008 | 0.004 |
Albumin | − 48.18 | 0.15 | 0.12 | − 68.59 | 0.25 | 0.10 | − 21.71 | 0.06 | 0.04 | ||
β-2MCG | − 11.78 | 0.034 | 0.021 | − 19.32 | 0.02 | 0.02 | − 2.24 | 0.75 | 0.63 | ||
GCLM | rs41303970 | eGFR | − 1.54 | 0.085 | 0.07 | − 0.73 | 0.49 | 0.39 | − 3.15 | 0.05 | 0.07 |
Albumin | − 52.49 | 0.18 | 0.11 | − 71.46 | 0.28 | 0.17 | − 21.42 | 0.15 | 0.09 | ||
β-2MCG | 2.78 | 0.67 | 0.96 | 2.94 | 0.74 | 1.0 | 2.85 | 0.75 | 1.0 | ||
GSS | rs3761144 | eGFR | − 0.03 | 0.97 | 1.0 | − 0.26 | 0.76 | 0.94 | 0.28 | 0.82 | 0.82 |
Albumin | 55.39 | 0.08 | 0.05 | 81.47 | 0.13 | 0.07 | 15.65 | 0.18 | 0.54 | ||
β-2MCG | − 3.41 | 0.51 | 0.58 | − 1.77 | 0.81 | 1.0 | − 4.41 | 0.54 | 1.0 | ||
GSTA1 | rs3957356 | eGFR | 0.95 | 0.23 | 0.12 | 0.54 | 0.58 | 0.60 | 1.78 | 0.21 | 0.19 |
Albumin | 66.02 | 0.07 | 0.05 | 103.89 | 0.08 | 0.14 | − 9.64 | 0.49 | 0.57 | ||
β-2MCG | 6.57 | 0.26 | 0.21 | 7.89 | 0.33 | 0.14 | 0.51 | 0.95 | 0.96 | ||
GSTP1 | rs4147581 | eGFR | 0.32 | 0.77 | 0.66 | 0.72 | 0.48 | 0.96 | − 0.12 | 0.92 | 0.91 |
Albumin | − 36.53 | 0.29 | 1.0 | − 64.89 | 0.31 | 0.68 | − 7.33 | 0.54 | 0.62 | ||
β-2MCG | − 1.82 | 0.74 | 1.0 | − 11.26 | 0.19 | 0.09 | 8.53 | 0.24 | 0.61 |
Statistically significant association are shown in bold (P value < 0.05).
Each SNP was examined using multivariable linear regression models assuming additive model of inheritance adjusted by age, sex, blood-Hg levels (µg Hg/L), urine-Hg levels (µg Hg/g creatinine), hair-Hg levels (µg Hg/g hair), and duration of exposure (years). Having lower eGFR levels, higher albumin levels or higher β-2MCG levels are indicative of kidney injury.
aP value from a generalized linear model.
bEmpirical P value determined based on 5000 permutations from a generalized linear model.